This review aims to provide a systematic analysis of the literature focused on the use of
intelligent control systems in robotics for physical rehabilitation, identifying trends in recent …

The key idea in iterative learning control is captured by the intuition of 'practice makes
perfect'. The underlying learning is based on a gradient descent algorithm iteratively …

Robotic technologies for rehabilitating motor impairments from neurological injuries have
been the focus of intensive research and capital investment for more than 30 years …

Robotic devices have been used in post-stroke or trauma neurorehabilitation process for
years. Due to the uncertain, complex, and changing physical human-robot-interaction …

There is increasing interest in using robotic devices to assist in movement training following
neurologic injuries such as stroke and spinal cord injury. This paper reviews control …

Based on evidence from recent experiments in motor learning and neurorehabilitation, we
hypothesize that three desirable features for a controller for robot-aided movement training …

Rehabilitation robotics is a rapidly developing field that shows great potential for aiding
people with movement disabilities in their recovery, and consequently in improving their …

Robot-assisted rehabilitation therapy interventions are emerging as a new technique to help
individuals with motor impairment recover lost motor control. While initial clinical studies …

Robot-assisted rehabilitation and therapy has become more and more frequently used to
help the elderly, disabled patients or movement disorders to perform exercise and training …

Robot-assisted rehabilitation is an exciting field which aims to incorporate relevant
developments in robotics related to rehabilitation with the intention of defining new …